Grab’s lending business (GFSA – Grab Financial Services Asia) is a recent addition to Grab’s array of product and service offerings focused on extension of Micro credit to drivers, agents and merchants in Grab’s ecosystem. GFSA team is a combination of strong talent pool in its Regional Hub (Singapore) and deep local market operators across its focus markets. We are incredibly excited about the opportunity ahead of us. We are looking to put together the best possible combination of business build drive, industry expertise and local market depth as part of our team. GFSA team is responsible for end to end conceptualization, design, development, execution and ongoing management of all lending activities in its focus markets and segments.
Get to know the Role:
Determine and acquire the datasets needed to be collected from internal and external sources
Design and implement databases and data schemas for new products and digital solutions
Work with data scientists, technology teams and other functions to deep dive on core solutions and prioritize business and information needs
Drive the day-to-day implementation of the analytical strategy
Management of campaign reporting, MIS, analysis and derivation of key success KPIs
Design and ownership of management reporting & visualization
Assist our data science teams in developing tools, metrics, and systems to analyze large-scale internal and external datasets to identify opportunities to improve solutions’ efficiency, accuracy for a more targeted product offering.
Profiling and segmentation of datasets for tactical data mining tasks
Test for incoming data quality (exploratory data analysis) and build and execute UAT test cases at the point of deployment of analytics models
The must haves:
A Bachelor's/Master’s degree, preferably in Analytics, Statistics, Mathematics, Economics, Computer Science or Engineering
Minimum 2+ years relevant work experience in an BI, analytics or insights related role
Strong programming skills in R, Python, Spark
Proficient with working on databases like SQL, HIVE etc.
Proficient in Excel
Strong foundation in data query/manipulation using SQL and data visualization using tools like Tableau
Strong analytical skills with the ability to collect, organize and analyse significant amount of information with attention to detail and accuracy
Technical expertise of data models, data mining and segmentation techniques
Self-motivated and independent learner who is willing to share knowledge with the team
Detail-oriented and efficient time manager who thrives in a dynamic and dynamic working environment
